Binary Stochastic Neurons in PyTorch

Last update: Nov 21, 2022

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Overview

Binary Stochastic Neurons in PyTorch

Results

Model	Epoch	Accuracy
BinaryNet-Deterministic-REINFORCE-False	41	0.8086
BinaryNet-Deterministic-REINFORCE-True	33	0.8128
BinaryNet-Deterministic-ST-False	94	0.972
BinaryNet-Deterministic-ST-True	63	0.9709
BinaryNet-Stochastic-REINFORCE-False	19	0.5937
BinaryNet-Stochastic-REINFORCE-True	97	0.7095
BinaryNet-Stochastic-ST-False	59	0.9748
BinaryNet-Stochastic-ST-True	89	0.9717
NonBinaryNet-None-None-False	76	0.9734
NonBinaryNet-None-None-True	50	0.9714

Owner

Onur Kaplan

GitHub Repository

This is the code related to "Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation" (ICCV 2021).

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Binary Stochastic Neurons in PyTorch

Related tags

Overview

Binary Stochastic Neurons in PyTorch

Results

Owner

Onur Kaplan

This is the code related to "Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation" (ICCV 2021).

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Pytorch implementation of few-shot semantic image synthesis

The hippynn python package - a modular library for atomistic machine learning with pytorch.

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks.

A whale detector design for the Kaggle whale-detector challenge!

Drslmarkov - Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks

The source code for 'Noisy-Labeled NER with Confidence Estimation' accepted by NAACL 2021

A collection of IPython notebooks covering various topics.

UDP++ (ECCVW 2020 Oral), (Winner of COCO 2020 Keypoint Challenge).

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